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Title Machine Learning Power Bi
Target Location US-MA-Stoneham
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Candidate's Name
EMAIL AVAILABLE EMAIL AVAILABLE PHONE NUMBER AVAILABLE LinkedIn Boston, MAEDUCATIONWorcester Polytechnic Institute, Worcester, USA January Street Address   December 2024MS in Business Analytics (GPA 3.9)University of Mumbai, Mumbai, India June Street Address   March 2011MSc. Bioanalytical ScienceUniversity of Mumbai, Mumbai, India April 2006  March 2009B.Sc. BiotechnologySKILLSTechniques: Business Optimization Models, Data Management, Data Mining, Feature Engineering, Data Visualization, Report Building, Google Analytics, Market Analysis, Data Scraping, Predictive Modelling, Hypothesis Testing, Time Series Forecasting, Machine Learning, Risk Assessment, Decision Tree model.Tools: ERP system, Tableau, Power BI, DataRobot, IBM SPSS, RapidMiner, Microsoft Azure ML, Excel-Pivot table, Visio, JIRA, Confluence, NVivoLanguages: SQL, Python (NumPy, Pandas, Matplotlib, nltk, Seaborn, Scikit-learn, SciPy, Beautiful Soup, Selenium, TensorFlow, Keras), RPROFESSIONAL EXPERIENCEGraduate Research Assistant Worcester Polytechnic Institute, MA March 2023  PresentStatistically analyzed ED patient arrival data using pivot tables for University, Clinton, and Marlboro Hospitals, revealing 88.34% of University ED patients had a LOS less than 1 day, reflecting efficient patient flow management.Developed interactive Tableau dashboards by exporting pivot table data, enhancing analysis of ED wait times by patient risk levels and optimizing care processes.Data Analyst K12 Techno Services  Mumbai, India June 2022  December 2022Collaborated with the central team to refresh data on the school's online platform Eduvate.Utilized Power BI to generate reports, identifying revenue enhancement opportunities for 14 area managers and supporting informed decision-making.Enhanced the school enrollment predictive model by performing feature engineering with Python libraries, creating heatmaps to identify correlations, and applying logistic regression analysis to eliminate insignificant data, achieving 80.6% accuracy.Business Analyst Sarsan Oilfields Supply Centre  Dubai, UAE January 2017  January 2022Leveraged ERP Focus' deployed on the cloud, overseeing ETL processes from the database to streamline operations and optimize workflows, reducing annual costs by 10%.Designed roadmaps and applied the built-in reporting tools of the ERP to present KPIs to stakeholders.Led a successful $1 mil carbon steel pipes delivery project by mitigating operational risks through scenario analysis and checklists.Analyzed historical data to identify patterns in customer issues and churns, maintained accurate data for more than 100 suppliers, and successfully negotiated to reduce material costs by an average of 5%.Executed market research and designed brochures and email campaigns to highlight pricing and discounts on carbon steel, driving a 6% annual sales increase.PROJECTS1)Assessing market viability for Teradyne Inc.- Conducted market analysis of seven key camera module manufacturers and competitors using NVivo to analyze qualitative data, made a TAM model for revenue projection, and proposed a strategic entry into the automotive camera module test market based on three critical factors for Teradyne Inc.2)Fraud Detection Modeling: Analyzed 6 million fraud transactions with Python, used SMOTE for data balancing, deployed it for machine learning with Azure ML and DataRobot achieving 53% accuracy, and created infographics to highlight findings and benefits to stakeholders.3)CDC health dashboard: Prepared a snowflake for CDC's large-scale data collection and processing and developed an interactive BI dashboard to monitor health trends and aggregate data by geographic variations.

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